matlab中遗传算法的运行问题，求指教！。

function y = optlincontest6(x)

y = x^2+1;

options = gaoptimset('Generations',100,'PopulationSize',400);

lb=10;

ub=30;

[x,fval,exitflag] = ga(@optlincontest6,1,options);

为什么我设定x的区间为10到30，得到的最优结果是x=-8.7828e-5，y=1.0000？

哪里有错误，求指教！

Answer 1

[lobim]

lb和ub没有传递进去，你直接写lb=10,ub=30;是没有用的。

p.fitnessfcn = @optlincontest6;
p.options = options;
p.lb = lb;
p.ub = ub;
p.nvars = 1;
[x, fval, exitflag] = ga(p);

如果要lb和ub起作用，你得用这种形式的调用：X = ga(PROBLEM);

X = ga(PROBLEM) finds the minimum for PROBLEM. PROBLEM is a structure

that has the following fields:

fitnessfcn: <Fitness function>

nvars: <Number of design variables>

Aineq: <A matrix for inequality constraints>

bineq: <b vector for inequality constraints>

Aeq: <Aeq matrix for equality constraints>

beq: <beq vector for equality constraints>

lb: <Lower bound on X>

ub: <Upper bound on X>

nonlcon: <Nonlinear constraint function>

intcon: <Index vector for integer variables>

options: <Options structure created with GAOPTIMSET>

rngstate: <State of the random number generator>